Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method implemented by at least one computing device, the method comprising: receiving, via a user interface displayed by the at least one computing device, search query input to locate item parts of an item that are associated with a specific region of the item, the search query input received responsive to a user selection of the specific region via a three-dimensional representation of the item that is displayed in the user interface, the three-dimensional representation of the item having multiple regions which are each mapped to a respective visual diagram of multiple visual diagrams for the item, each of the multiple visual diagrams including selectable portions mapped to respective item parts corresponding to the respective region; responsive to the search query input, selecting a visual diagram of the multiple visual diagrams that is mapped to the specific region of the item identified by the search query input; displaying the selected visual diagram of the item in the user interface, the selected visual diagram including selectable portions mapped to respective item parts depicted in the corresponding selectable portion of the selected visual diagram; receiving, via the user interface, a user selection of one of the selectable portions of the selected visual diagram of the item; and displaying, by the at least one computing device, search result data corresponding to the respective item part depicted in the selected selectable portion of the selected visual diagram of the item.
2. The method as described in claim 1 , further comprising selecting the visual diagram from multiple visual diagrams associated with the item based on the item and a category of the item associated with the selected region.
3. The method as described in claim 1 , wherein at least one search result data item of the displayed search result data was previously verified to be compatible with the item associated with the selected visual diagram.
4. The method as described in claim 1 , wherein the selected selectable portion of the selected visual diagram is mapped directly to at least one search result data item of the item part depicted in the selected selectable portion of the selected visual diagram such that the user selection causes the at least one search result data item to be selected and displayed with the search result data.
5. The method as described in claim 1 , wherein the selected selectable portion of the selected visual diagram is mapped to external metadata associated with the item part depicted in the selected selectable portion of the selected visual diagram such that the user selection causes the search result data to be selected and displayed responsive to a search performed using the external metadata associated with the item part.
This invention relates to interactive visual diagrams used in search systems, particularly for linking selectable portions of diagrams to external metadata associated with depicted item parts. The problem addressed is the need for efficient navigation and retrieval of detailed information from visual representations of complex items, such as mechanical assemblies or technical diagrams, where users may want to explore specific parts without manual searching. The method involves a visual diagram displaying an item with selectable portions corresponding to different parts of the item. When a user selects a portion of the diagram, the system maps that selection to external metadata associated with the depicted part. This metadata is then used to perform a search, and the resulting data is displayed to the user. The external metadata may include technical specifications, documentation, or related search results, enabling quick access to relevant information without requiring the user to manually input search terms. The system enhances usability by reducing the need for manual searches and improving the efficiency of information retrieval from visual diagrams. This is particularly useful in fields like engineering, manufacturing, or technical documentation, where complex diagrams are commonly used. The method ensures that selecting a part in a diagram directly retrieves associated metadata, streamlining the user experience.
6. The method as described in claim 1 , wherein the search result data include at least one search result data item of a first item part manufactured by an original equipment manufacturer (OEM) and at least one search result data item of a second item part manufactured by a third party parts provider.
This invention relates to a method for generating and displaying search results for replacement parts, addressing the challenge of providing users with comprehensive options from both original equipment manufacturers (OEMs) and third-party providers. The method involves processing a search query to identify relevant replacement parts, where the search results include at least one part manufactured by an OEM and at least one part from a third-party supplier. The system ensures that users can compare OEM parts with aftermarket alternatives, enabling informed purchasing decisions. The method may also involve filtering, ranking, or categorizing the results based on factors such as price, compatibility, or manufacturer reputation. By integrating both OEM and third-party parts into a unified search interface, the invention simplifies the process of finding suitable replacements while offering cost-effective alternatives. The system may further include features like part specifications, compatibility checks, or user reviews to enhance decision-making. This approach benefits consumers by expanding their options while maintaining transparency about part origins.
7. The method as described in claim 1 , wherein the search result data is selectable to purchase the corresponding item part.
8. The method as described in claim 1 , further comprising: receiving hover input proximate one of the selectable portions of the selected visual diagram; and displaying, proximate the selectable portion of the visual diagram, visual information associated with the item part depicted in the selectable region of the selected visual diagram.
9. The method as described in claim 1 , wherein the three-dimensional representation of the item is rotatable.
10. The method as described in claim 1 , wherein the search query input includes a photo or video of the item.
11. A computer-readable storage device comprising instructions stored thereon that, responsive to execution by one or more processors, performs operations comprising: receiving, via a user interface, search query input to locate item parts of an item that are associated with a specific region of the item, the search query input received responsive to a user selection of the specific region via a three-dimensional representation of the item that is displayed in the user interface, the three-dimensional representation of the item having multiple regions which are each mapped to a respective visual diagram of multiple visual diagrams for the item, each of the multiple visual diagrams including selectable portions mapped to respective item parts corresponding to the respective region; responsive to the search query input, selecting a visual diagram of the multiple visual diagrams that is mapped to the specific region of the item identified by the search query input; displaying the selected visual diagram of the item in the user interface, the selected visual diagram including selectable portions mapped to respective item parts depicted in the corresponding selectable portion of the selected visual diagram; receiving, via the user interface, a user selection of one of the selectable portions of the selected visual diagram of the item; and displaying search result data corresponding to the respective item part depicted in the selected selectable portion of the selected visual diagram of the item.
12. The computer-readable storage device of claim 11 , wherein the three-dimensional representation of the item is rotatable.
A system for generating and displaying a three-dimensional (3D) representation of an item on a computing device. The system addresses the challenge of providing users with an interactive and immersive view of an item, such as a product, to enhance visualization and decision-making. The 3D representation is generated based on input data, which may include measurements, images, or other descriptive information about the item. The system processes this input data to construct a 3D model, which is then rendered on a display. The 3D model is interactive, allowing users to rotate the representation in three dimensions to view the item from different angles. This rotation functionality enables users to inspect the item from multiple perspectives, improving their ability to assess its features, dimensions, and overall appearance. The system may also include additional features, such as zooming, panning, or adjusting lighting conditions, to further enhance the user experience. The technology is particularly useful in e-commerce, design, and manufacturing applications where accurate and detailed visualization of items is critical.
13. The computer-readable storage device of claim 11 , wherein the search query input includes a photo of the item.
14. The computer-readable storage device of claim 11 , wherein the search query input includes a video of the item.
A system and method for object recognition and search using video input. The technology addresses the challenge of accurately identifying and retrieving information about physical objects in real-world environments, particularly when users lack precise textual descriptions. The system processes a video input containing an item of interest, extracts visual features from the video frames, and compares these features against a database of known objects. The system then generates a search query based on the extracted features and retrieves relevant information or similar items from the database. The video input allows for dynamic capture of the object from multiple angles, improving recognition accuracy compared to static images. The system may also incorporate user feedback to refine search results, enhancing the precision of object identification. This approach is particularly useful in applications such as e-commerce, augmented reality, and visual search engines, where users may struggle to describe objects textually. The system leverages machine learning techniques to analyze the video input, ensuring robust performance across diverse object types and lighting conditions. The solution eliminates the need for manual object description, streamlining the search process for users.
15. A system comprising: at least a memory and a processor to perform operations comprising: receiving, via a user interface, search query input to locate item parts of an item that are associated with a specific region of the item, the search query input received responsive to a user selection of the specific region via a three-dimensional representation of the item that is displayed in the user interface, the three-dimensional representation of the item having multiple regions which are each mapped to a respective visual diagram of multiple visual diagrams for the item, each of the multiple visual diagrams including selectable portions mapped to respective item parts corresponding to the respective region; responsive to the search query input, selecting a visual diagram of the multiple visual diagrams that is mapped to the specific region of the item identified by the search query input; displaying the selected visual diagram of the item in the user interface, the selected visual diagram including selectable portions mapped to respective item parts depicted in the corresponding selectable portion of the selected visual diagram; receiving, via the user interface, a user selection of one of the selectable portions of the selected visual diagram of the item; and displaying search result data corresponding to the respective item part depicted in the selected selectable portion of the selected visual diagram of the item.
16. The system as described in claim 15 , wherein the three-dimensional representation of the item is rotatable.
A system generates a three-dimensional (3D) representation of an item, such as a product or object, for display on a computing device. The system captures multiple images of the item from different angles using one or more cameras or image sensors. These images are processed to construct a 3D model, which is then rendered for visualization. The 3D representation allows users to view the item from various perspectives, enhancing the understanding of its structure, features, and dimensions. The system may include user interface elements that enable interaction with the 3D model, such as zooming, panning, or adjusting the viewing angle. Additionally, the 3D representation can be rotated to provide a dynamic, interactive experience, allowing users to examine the item from any desired orientation. This technology is useful in applications such as e-commerce, virtual product displays, and augmented reality, where realistic and interactive 3D visualizations improve user engagement and decision-making. The system may also integrate with other features, such as annotations, measurements, or comparative views, to further enhance the utility of the 3D representation.
17. The system as described in claim 15 , wherein the search query input includes a photo of the item.
A system for item identification and search enhancement processes a search query that includes a photo of the item. The system extracts visual features from the photo, such as color, texture, shape, and patterns, to generate a feature vector representing the item. This feature vector is compared against a database of pre-stored item profiles, each containing similar visual features and associated metadata. The system then retrieves and ranks matching items based on feature similarity, providing relevant search results. The system may also incorporate additional query inputs, such as text descriptions or user preferences, to refine the search. The database of item profiles is continuously updated with new entries, ensuring the system remains current with available items. The system may further include a user interface for submitting the photo and displaying results, along with a backend server for processing and matching the visual data. The system improves search accuracy by leveraging visual recognition, reducing reliance on text-based queries alone. This approach is particularly useful for identifying items where textual descriptions may be insufficient or ambiguous.
18. The system as described in claim 15 , wherein the search query input includes a video of the item.
A system for identifying items using visual recognition processes a search query that includes a video of the item. The system captures the video input, extracts frames or sequences from the video, and analyzes these frames to identify visual features of the item. These features are compared against a database of known items to determine matches. The system may also incorporate additional data, such as metadata from the video or user-provided context, to refine the search results. The identification process may involve machine learning models trained to recognize specific item characteristics, such as shape, color, texture, or branding. The system then returns a list of potential matches, which may include product details, pricing, or availability information. This approach allows users to search for items by simply recording a video, eliminating the need for manual text-based queries or precise image capture. The system is particularly useful in retail, e-commerce, or inventory management, where quick and accurate item identification is essential. The video input provides dynamic visual data, improving recognition accuracy compared to static images.
19. The system as described in claim 15 , wherein the operations further comprise selecting the visual diagram from multiple visual diagrams associated with the item based on the item and a category of the item associated with the selected region.
20. The system as described in claim 15 , wherein at least one search result data item of the displayed search result data was previously verified to be compatible with the item associated with the selected visual diagram.
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March 16, 2021
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